Quantitative Data Analysis

        1.       Exploratory Factor Analysis -----SPSS

(PAF extraction and Direct Oblimin (DO) rotation method)

Ø  Kaiser-Mayer-Olkin (KMO) coefficient

Ø  Bartlett’s test of sphericity

Ø  SCREE PLOT

Ø  Pattern matrix

        2.       Descriptive statistics of variables (MEAN &ST D) 

        3.       One-Way ANOVA  (Skewness and kurtosis)

Ø  group sizes

Ø  Descriptive statistics

Ø  Test of homogeneity of variances

Ø  Hochberg’s GT2 Post Hoc test

Ø  Means plots

         4.       MANOVA (VARIABLEWISE)

Ø  Skewness and kurtosis of variables

Ø  Multiple line chart

Ø  Box’s Test of Equality of Covariance Matrices

Ø  Levene’s Test of Equality of Error Variances

Ø  Multivariate Tests

Ø  Tests of Between-Subjects Effects on teachers’ attitudes

         5.       Standard Multiple Regression

Ø  skewness and kurtosis test

Ø  Variables entered / removed of Stepwise Multiple Regression

Ø  Excluded variables of Stepwise Multiple Regression

Ø  Residual Statistics of Stepwise Multiple Regression

Ø  ANOVA of Stepwise Multiple Regression

Ø  Coefficient of Stepwise Multiple Regression

         6.       Structural Equation Modeling (SEM)

Ø Observed indicators’ loadings, Composite Reliability (CR) and the Average Variance Extracted (AVE)

Ø  Discriminant validity of latent variables

Ø  Summary of the hypothesised structural paths

Ø  Hypothesised Paths Structure

Ø  Observed indicators’ loadings, Composite Reliability (CR) and the

Average Variance Extracted (AVE) for the revised paths structure
Ø  Discriminant validity of latent variables for revised paths structure
Ø  Summary of the revised structural paths
Ø  Revised Paths Structure

          7.    Single or multiple mediators mediation analysis
              Ø  direct and indirect effects including percentile bootstrap and Monte Carlo confidence intervals